PyGithub
PyGithub MCP Server provides a bridge between AI assistants and the GitHub API through PyGithub, enabling operations like managing issues, repositories, and pull requests. The implementation follows a modular architecture with domain-specific schemas, converters, and operations that handle authentication, rate limiting, and error recovery automatically. Built with a focus on reliability and maintainability, it includes comprehensive test coverage with both unit and integration tests, making it particularly valuable for AI-assisted software development workflows that require GitHub integration.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- version-control
- Source
- PulseMCP
- Repository
- github.com/astromined/pygithub-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve PyGithub from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.